Ep. 09: Maria Axente of PWC on ethical AI

In this episode, we open with a chat about Facebook’s acquisition of GIPHY and what the company may be trying to learn with its AI (hint: hidden meanings) and then we move on to a great conversation with Maria Axente of PWC about ethical AI at PWC and in her non-profit work with groups like UNICEF.

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Ep. 08: Ted Kwartler of DataRobot on trusted AI

In this episode, we open with an opinionated chat about Facebook’s new oversight board and then we have a great conversation with Ted Kwartler, VP of Trusted AI at DataRobot. We think DataRobot is a very interesting AI company and Ted’s role is key to helping their customers with ethical AI.

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Ep. 07: Arash Rahnama of Modzy on explainability, fairness and bias in AI

In this episode, I have a conversation with Arash Rahnama, Head of Applied AI Research at Modzy (@arashrahnamaphd, @getmodzy, www.modzy.com). We talk about techniques for providing explainability in AI, how to pair explainability with fairness to reduce bias, how AI goes wrong and how diverse teams can provide important prior knowledge to AI systems and help govern them in the wild.

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In this episode, I have a conversation with Scott Stephenson, Co-founder and CEO of Deepgram, a company which has built an end-to-end deep learning speech recognition system. We talk about why end-to-end deep learning sets Deepgram apart from other speech recognition companies, how Deepgram handles accents and bias, how enterprise speech recognition differs from consumer and Deepgram’s goal of becoming a speech understanding company.

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Ep. 05: Will Griffin on Hypergiant's ethical framework, Immanuel Kant and how to create ethical AI

In this episode, I have the pleasure of talking with Will Griffin, Chief Ethics Officer of Hypergiant, an Austin Texas-based AI product and services company. We talk about how Hypergiant uses Immanuel Kant’s categorical imperative in its ethics framework, how Hypergiant applies its ethics process with clients and why Will thinks ethical processes are important in AI development.

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Ep. 04: Chelsea Barabas on bias and power in AI

In this episode, I have the pleasure of interviewing Chelsea Barabas a PhD candidate at MIT’s Media Lab. We talk about her work on bias in the criminal justice system as well as her most recent work applying the concept of “studying up” from anthropology to the data science world.